For your digital employee to answer queries, learn about your business, and perform tasks, it needs computational resources. This is where credits come into play.
⛽ What is a credit?
Imagine that credits are like the fuel or electricity that Artificial Intelligence needs to run.
At Laburen, we use powerful Large Language Models (LLMs) such as ChatGPT, DeepSeek, or Claude. Every time your agent "thinks," processes information, and generates a response, it consumes a small amount of credits.
📉 When are credits spent?
Consumption doesn't only happen when the agent talks to a customer. Credits are used at different moments:
Daily Operations: Every real interaction, answering queries, managing orders, or tasks performed by the agent.
Training: When you upload new information about your business for it to learn (knowledge base) or when you modify the conversation style, tone of voice, among other settings.
Configuration and Testing: The tests you run internally on the platform to ensure the agent responds exactly how you want.
🤖 Not all models consume the same amount
An important detail is that the "engine" you choose influences the cost. Depending on the power and complexity of the selected LLM, the credit cost per action or response may vary.
📊 How do I control my spending?
You can monitor your credit consumption in real-time directly from your Dashboard. There, you will see usage details so you always have control over your plan and can top up credits if necessary.
If you have any doubts or need to know more about credits, write to support for more information.